12 months
Duration
13400 GBP/year
9000 GBP/year
Unknown
Tuition fee
Unknown
Unknown
Apply date
Unknown
Start date

About

On the Data Science course from University of South Wales you will learn how to apply high level analytical skills and knowledge to solve a range of real-world problems.

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Overview

The MSc Data Science from  University of South Wales is designed to support your development of transferable skills and expertise to play a leading role at a technical and practical level in the industry.

Additionally, you will work towards a globally recognised qualification, the SAS Joint Certificate in Applied Statistics and Data Mining. The Joint Certificate will validate your skills and ability to use SAS software, giving you a competitive advantage in the job market. 

What you will study

The MSc Data Science has six core taught modules divided into two streams. At the beginning of each stream you will be taught the fundamentals of applied statistics, computing technology, programming and data base systems. Your existing analytical and technical skills will be developed to understand how to use the industry software used in the workplace, in turn preparing you for your individual research project.

Teaching

The MSc Data Science course is delivered through a series of lectures, practical classes and workshops where you will have the opportunity to put into practice what you have learnt via hands-on exercises and design projects. You will also be taught by a number of guest lecturers and have the option to visit workplaces.

Careers

Employment prospects are strong in this rapidly growing and demanding industry. There are a number of careers available to those trained in data science - students could go on to be data scientists, statistics officers, business analysts, predictive modellers or computer programmers, these will continue to grow as organisations are required to adapt to improving technologies.

Programme Structure

Courses included:

  • Applied statistics for data science
  • Data mining and statistical forecasting
  • Project management and research methodology
  • Principles of computing
  • Machine learning and decision making
  • Big data and analytics

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months
    • Flexible

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Lower Second Class (required)
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6 (required)
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

Suitable for graduates with a minimum 2:2 Honours degree or equivalent in a numerate discipline across any STEM or business subject. Relevant industry experience can also be taken into account for applicants without a relevant first degree.

Tuition Fee

  • International

    13400 GBP/year
    Tuition Fee
    Based on the original amount of 13400 GBP per year and a duration of 12 months.
  • EU/EEA

    9000 GBP/year
    Tuition Fee
    Based on the original amount of 9000 GBP per year and a duration of 12 months.

Part-time UK and EU:  £1000 per 20 credits

Funding

Check the official programme website for information about funding options.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Science M.Sc.
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